Keynotes

Topic : The decision maker, the big data, and the neuro-economicsContribution of neuroscience to our understanding of decision-making mechanisms

Michel Raimondo

Michel Raimondo,  Associate Director – Manager of MATRICIEL – Operational Consultant, Consultant for more than 30 years, Michel Raimondo has worked in Europe, in Canada, in Africa on missions of master plan, project management AMOA, organization and engineering of the business processes, architecture of the applications and data, IS governance. As a transition manager, he also held the position of Director of the Information System (CIO) for nearly 15 years. He is an Industrial Engineer graduated from the Central School of Arts and Crafts, Electricity /Electronics, in Brussels (High School Leonardo da Vinci). He taught as a temporary teacher for more than 10 years. He currently teaches at Mohamed V University and the International University in Rabat. He leads conferences, training seminars and workshops.He is certified ISACA – IT Governance, ITIL v3, CBAP (IIBA – Business Analysis). Numerous sectors of activity: telecommunications, petroleum, chemical and pharmaceutical industries, food, mechanical and electrical manufacturing, cement works, engineering (construction, industrial risks), public transport (train, bus), banks and insurance.


Mohammed Mestari is a professor at ENSET of Mohammedia of Morocco and head of research team “Artificial intelligent”  belonging to the  Laboratory (Signals, Distributed Systems and Artificial Intelligent) . His research interest is on artificial intelligent, especially on artificial neural networks, also on techniques of hardware implementation based on decomposition-coordination principle, optimal control and trajectory planning for Unmanned Aerial Vehicles (UAVs). He has more than 85 scientific contributions related to both theoretical and applications in artificial intelligent and robotic areas.


Topic : Principles and Practice in Machine Learning for Big Data 

Chafik Samir is an Associate Professor at CNRS Laboratoire d’Informatique, de Modélisation et d’Optimisation des Systèmes (LIMOS),  University of Clermont Auvergne (UCA), France. He obtained his Ph.D. degree from Lille 1 University of Science and Technology in 2007. After spending two years as a post-doc at UCL, he joined UCA as an Assistant Professor in 2009. His main research interests involve machine learning, fitting and optimization on Riemannian manifolds, statistical shape analysis, and their applications to real-world problems. In particular, he has been working on modeling and simulation of spatio-temporal variations and dynamics in medical studies as well as  statistical machine learning techniques for nonlinear structures.